The assumption of homoscedasticity is also referred to as constant error variance. As the name sug-
gests, the assumption of homoscedasticity or constant error variance requires that the variance around
the line of regression should be constant for all the values of x
i
. This means that the error variance
should be constant for low values of x as well as for high values of x. As shown in Figure 14.32, the
assumption of homoscedasticity can be judged from a plot of residuals and values of x
i
. Figure 14.32
exhibits the violation of the homoscedasticity assumption of regression. ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month, and much more.